Sentiment Analysis of COVID-19 Tweets Using Deep Learning and Lexicon-Based Approaches

Bharati Sanjay Ainapure; Reshma Nitin Pise; Prathiba Reddy; Bhargav Appasani; Avireni Srinivasulu; Mohammad S. Khan; Nicu Bizon

doi:10.3390/su15032573

Sentiment Analysis of COVID-19 Tweets Using Deep Learning and Lexicon-Based Approaches

Bharati Sanjay Ainapure
, Reshma Nitin Pise
, Prathiba Reddy
, Bhargav Appasani
, Avireni Srinivasulu
, Mohammad S. Khan
, Nicu Bizon

Vishwakarma University
G H Raisoni College of Engineering and Management
Kalinga Institute of Industrial Technology (KIlT) University
Mohan Babu University
Department of Computer and Information Sciences
Pitești University Centre
National Research and Development Institute for Cryogenic and Isotopic Technologies
The National University of Science and Technology POLITEHNICA Bucharest

Research output: Contribution to journal › Article › peer-review

Original language	English
Article number	2573
Journal	Sustainability (Switzerland)
Volume	15
Issue number	3
DOIs	https://doi.org/10.3390/su15032573
State	Published - Feb 2023

ASJC Scopus Subject Areas

Computer Science (miscellaneous)
Geography, Planning and Development
Renewable Energy, Sustainability and the Environment
Environmental Science (miscellaneous)
Energy Engineering and Power Technology
Hardware and Architecture
Computer Networks and Communications
Management, Monitoring, Policy and Law

Keywords

Bi-LSTM
deep learning
GRU
lexicon
sentiment analysis
social network analysis
tweets

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10.3390/su15032573

Cite this

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title = "Sentiment Analysis of COVID-19 Tweets Using Deep Learning and Lexicon-Based Approaches",

keywords = "Bi-LSTM, deep learning, GRU, lexicon, sentiment analysis, social network analysis, tweets",

author = "Ainapure, \{Bharati Sanjay\} and Pise, \{Reshma Nitin\} and Prathiba Reddy and Bhargav Appasani and Avireni Srinivasulu and Khan, \{Mohammad S.\} and Nicu Bizon",

note = "Publisher Copyright: {\textcopyright} 2023 by the authors.",

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doi = "10.3390/su15032573",

language = "English",

volume = "15",

journal = "Sustainability (Switzerland)",

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T1 - Sentiment Analysis of COVID-19 Tweets Using Deep Learning and Lexicon-Based Approaches

AU - Ainapure, Bharati Sanjay

AU - Pise, Reshma Nitin

AU - Reddy, Prathiba

AU - Appasani, Bhargav

AU - Srinivasulu, Avireni

AU - Khan, Mohammad S.

AU - Bizon, Nicu

PY - 2023/2

Y1 - 2023/2

KW - Bi-LSTM

KW - deep learning

KW - GRU

KW - lexicon

KW - sentiment analysis

KW - social network analysis

KW - tweets

UR - https://www.scopus.com/pages/publications/85147978226

UR - https://www.scopus.com/pages/publications/85147978226#tab=citedBy

U2 - 10.3390/su15032573

DO - 10.3390/su15032573

M3 - Article

AN - SCOPUS:85147978226

SN - 2071-1050

VL - 15

JO - Sustainability (Switzerland)

JF - Sustainability (Switzerland)

IS - 3

M1 - 2573

ER -

Sentiment Analysis of COVID-19 Tweets Using Deep Learning and Lexicon-Based Approaches

ASJC Scopus Subject Areas

Keywords

Access to Document

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Cite this